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DOI: 10.4230/LIPIcs.DISC.2025.37

Towards Optimal Distributed Edge Coloring with Fewer Colors

Authors: Manuel Jakob, Yannic Maus, and Florian Schager

Published in: LIPIcs, Volume 356, 39th International Symposium on Distributed Computing (DISC 2025)

Abstract

There is a huge difference in techniques and runtimes of distributed algorithms for problems that can be solved by a sequential greedy algorithm and those that cannot. A prime example of this contrast appears in the edge coloring problem: while (2Δ-1)-edge coloring - where Δ is the maximum degree - can be solved in 𝒪(log^{∗}(n)) rounds on constant-degree graphs, the seemingly minor reduction to (2Δ-2) colors leads to an Ω(log n) lower bound [Chang, He, Li, Pettie & Uitto, SODA'18]. Understanding this sharp divide between very local problems and inherently more global ones remains a central open question in distributed computing and it is a core focus of this paper. As our main contribution we design a deterministic distributed 𝒪(log n)-round reduction from the (2Δ-2)-edge coloring problem to the much easier (2Δ-1)-edge coloring problem. This reduction is optimal, as the (2Δ-2)-edge coloring problem admits an Ω(log n) lower bound that even holds on the class of constant-degree graphs, whereas the 2Δ-1-edge coloring problem can be solved in 𝒪(log^{∗}n) rounds. By plugging in the (2Δ-1)-edge coloring algorithms from [Balliu, Brandt, Kuhn & Olivetti, PODC'22] running in 𝒪(log^{12}Δ + log^{∗} n) rounds, we obtain an optimal runtime of 𝒪(log n) rounds as long as Δ = 2^{𝒪(log^{1/12} n)}. Previously, such an optimal algorithm was only known for the class of constant-degree graphs [Brandt, Maus, Narayanan, Schager & Uitto, SODA'25]. Furthermore, on general graphs our reduction improves the runtime from 𝒪̃(log³ n) to 𝒪̃(log^{5/3} n). In addition, we also obtain an optimal 𝒪(log log n)-round randomized reduction of (2Δ - 2)-edge coloring to (2Δ - 1)-edge coloring. This leads to a 𝒪̃(log^{5/3} log n)-round (2Δ-2)-edge coloring algorithm, which beats the (very recent) previous state-of-the-art taking 𝒪̃(log^{8/3}log n) rounds from [Bourreau, Brandt & Nolin, STOC'25]. Lastly, we obtain an 𝒪(log_Δ n)-round reduction from the (2Δ-1)-edge coloring, albeit to the somewhat harder maximal independent set (MIS) problem.

Cite as

Manuel Jakob, Yannic Maus, and Florian Schager. Towards Optimal Distributed Edge Coloring with Fewer Colors. In 39th International Symposium on Distributed Computing (DISC 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 356, pp. 37:1-37:26, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{jakob_et_al:LIPIcs.DISC.2025.37,
  author =	{Jakob, Manuel and Maus, Yannic and Schager, Florian},
  title =	{{Towards Optimal Distributed Edge Coloring with Fewer Colors}},
  booktitle =	{39th International Symposium on Distributed Computing (DISC 2025)},
  pages =	{37:1--37:26},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-402-4},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{356},
  editor =	{Kowalski, Dariusz R.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2025.37},
  URN =		{urn:nbn:de:0030-drops-248547},
  doi =		{10.4230/LIPIcs.DISC.2025.37},
  annote =	{Keywords: distributed graph algorithms, edge coloring, LOCAL model}
}

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Brief Announcement

DOI: 10.4230/LIPIcs.DISC.2025.54

Brief Announcement: Faster CONGEST Approximation Algorithms for Maximum Weighted Independent Set in Sparse Graphs

Authors: Salwa Faour and Fabian Kuhn

Published in: LIPIcs, Volume 356, 39th International Symposium on Distributed Computing (DISC 2025)

Abstract

The maximum independent set problem is a classic optimization problem in graph theory that has also been studied quite intensively in the distributed setting. Although the problem is hard to approximate within reasonable factors in general, there are good approximation algorithms known for several sparse graph families. In the present paper, we consider deterministic distributed CONGEST algorithms for the weighted version of the problem in trees and graphs of bounded arboricity (i.e., hereditary sparse graphs). For trees, we prove that the task of deterministically computing a (1-ε)-approximate solution to the maximum weight independent set (MWIS) problem has a tight Θ(log^*(n) / ε) complexity. The lower bound already holds on unweighted oriented paths. On the upper bound side, we show that the bound can be achieved even in unrooted trees. For graphs G = (V,E) of arboricity β > 1, we give two algorithms. If the sum of all node weights is w(V), we show that for any ε > 0, an independent set of weight at least (1-ε)⋅(w(V))/(4β) can be computed in O(log²(β/ε)/ε + log^* n) rounds. This result is obtained by a direct application of the local rounding framework of Faour, Ghaffari, Grunau, Kuhn, and Rozhoň [SODA ‘23]. We further show that for any ε > 0, an independent set of weight at least (1-ε)⋅(w(V))/(2β+1) can be computed in O(log³(β)⋅log(1/ε)/ε² ⋅log n) rounds. For ε = ω(1/√{β}), this significantly improves on a recent result of Gil [OPODIS ‘23], who showed that a 1/⌊(2+ε)β⌋-approximation to the MWIS problem can be computed in O(β/ε⋅log n) rounds. As an intermediate step to our result, we design an algorithm to compute an independent set of total weight at least (1-ε)⋅∑_{v ∈ V}(w(v))/(deg(v)+1) in time O(log³(Δ)⋅log(1/ε)/ε + log^* n), where Δ is the maximum degree of the graph.

Cite as

Salwa Faour and Fabian Kuhn. Brief Announcement: Faster CONGEST Approximation Algorithms for Maximum Weighted Independent Set in Sparse Graphs. In 39th International Symposium on Distributed Computing (DISC 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 356, pp. 54:1-54:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{faour_et_al:LIPIcs.DISC.2025.54,
  author =	{Faour, Salwa and Kuhn, Fabian},
  title =	{{Brief Announcement: Faster CONGEST Approximation Algorithms for Maximum Weighted Independent Set in Sparse Graphs}},
  booktitle =	{39th International Symposium on Distributed Computing (DISC 2025)},
  pages =	{54:1--54:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-402-4},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{356},
  editor =	{Kowalski, Dariusz R.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2025.54},
  URN =		{urn:nbn:de:0030-drops-248704},
  doi =		{10.4230/LIPIcs.DISC.2025.54},
  annote =	{Keywords: CONGEST model, weighted independent set, approximation, trees, arboricity}
}

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DOI: 10.4230/LIPIcs.DISC.2025.13

Towards Fully Automatic Distributed Lower Bounds

Authors: Alkida Balliu, Sebastian Brandt, Fabian Kuhn, Dennis Olivetti, and Joonatan Saarhelo

Published in: LIPIcs, Volume 356, 39th International Symposium on Distributed Computing (DISC 2025)

Abstract

In the past few years, a successful line of research has led to lower bounds for several fundamental local graph problems in the distributed setting. These results were obtained via a technique called round elimination. On a high level, the round elimination technique can be seen as a recursive application of a function that takes as input a problem Π and outputs a problem Π' that is one round easier than Π. Applying this function recursively to concrete problems of interest can be highly nontrivial, which is one of the reasons that has made the technique difficult to approach. The contribution of our paper is threefold. Firstly, we develop a new and fully automatic method for finding so-called fixed point relaxations under round elimination. The detection of a non-0-round solvable fixed point relaxation of a problem Π immediately implies lower bounds of Ω(log_Δ n) and Ω(log_Δ log n) rounds for deterministic and randomized algorithms for Π, respectively. Secondly, we show that this automatic method is indeed useful, by obtaining lower bounds for defective coloring problems. More precisely, as an application of our procedure, we show that the problem of coloring the nodes of a graph with 3 colors and defect at most (Δ - 3)/2 requires Ω(log_Δ n) rounds for deterministic algorithms and Ω(log_Δ log n) rounds for randomized ones. Additionally, we provide a simplified proof for an existing defective coloring lower bound. We note that lower bounds for coloring problems are notoriously challenging to obtain, both in general, and via the round elimination technique. {Both the first and (indirectly) the second contribution build on our third contribution: a new method to compute the one-round easier problem Π' in the round elimination framework. This method heavily simplifies the usage of the round elimination technique, and in fact it has been successfully exploited in a recent work in order to prove quantum advantage in the distributed setting [STOC '25].}

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Alkida Balliu, Sebastian Brandt, Fabian Kuhn, Dennis Olivetti, and Joonatan Saarhelo. Towards Fully Automatic Distributed Lower Bounds. In 39th International Symposium on Distributed Computing (DISC 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 356, pp. 13:1-13:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{balliu_et_al:LIPIcs.DISC.2025.13,
  author =	{Balliu, Alkida and Brandt, Sebastian and Kuhn, Fabian and Olivetti, Dennis and Saarhelo, Joonatan},
  title =	{{Towards Fully Automatic Distributed Lower Bounds}},
  booktitle =	{39th International Symposium on Distributed Computing (DISC 2025)},
  pages =	{13:1--13:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-402-4},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{356},
  editor =	{Kowalski, Dariusz R.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2025.13},
  URN =		{urn:nbn:de:0030-drops-248308},
  doi =		{10.4230/LIPIcs.DISC.2025.13},
  annote =	{Keywords: round elimination, lower bounds, defective coloring}
}

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Track A: Algorithms, Complexity and Games

DOI: 10.4230/LIPIcs.ICALP.2025.119

Faster Semi-Streaming Matchings via Alternating Trees

Authors: Slobodan Mitrović, Anish Mukherjee, Piotr Sankowski, and Wen-Horng Sheu

Published in: LIPIcs, Volume 334, 52nd International Colloquium on Automata, Languages, and Programming (ICALP 2025)

Abstract

We design a deterministic algorithm for the (1+ε)-approximate maximum matching problem. Our primary result demonstrates that this problem can be solved in O(ε^{-6}) semi-streaming passes, improving upon the O(ε^{-19}) pass-complexity algorithm by [Fischer, Mitrović, and Uitto, STOC'22]. This contributes substantially toward resolving Open question 2 from [Assadi, SOSA'24]. Leveraging the framework introduced in [FMU'22], our algorithm achieves an analogous round complexity speed-up for computing a (1+ε)-approximate maximum matching in both the Massively Parallel Computation (MPC) and CONGEST models. The data structures maintained by our algorithm are formulated using blossom notation and represented through alternating trees. This approach enables a simplified correctness analysis by treating specific components as if operating on bipartite graphs, effectively circumventing certain technical intricacies present in prior work.

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Slobodan Mitrović, Anish Mukherjee, Piotr Sankowski, and Wen-Horng Sheu. Faster Semi-Streaming Matchings via Alternating Trees. In 52nd International Colloquium on Automata, Languages, and Programming (ICALP 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 334, pp. 119:1-119:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{mitrovic_et_al:LIPIcs.ICALP.2025.119,
  author =	{Mitrovi\'{c}, Slobodan and Mukherjee, Anish and Sankowski, Piotr and Sheu, Wen-Horng},
  title =	{{Faster Semi-Streaming Matchings via Alternating Trees}},
  booktitle =	{52nd International Colloquium on Automata, Languages, and Programming (ICALP 2025)},
  pages =	{119:1--119:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-372-0},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{334},
  editor =	{Censor-Hillel, Keren and Grandoni, Fabrizio and Ouaknine, Jo\"{e}l and Puppis, Gabriele},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2025.119},
  URN =		{urn:nbn:de:0030-drops-234965},
  doi =		{10.4230/LIPIcs.ICALP.2025.119},
  annote =	{Keywords: streaming algorithms, approximation algorithms, maximum matching}
}

Document

DOI: 10.4230/LIPIcs.OPODIS.2024.35

Near-Optimal Resilient Labeling Schemes

Authors: Keren Censor-Hillel and Einav Huberman

Published in: LIPIcs, Volume 324, 28th International Conference on Principles of Distributed Systems (OPODIS 2024)

Abstract

Labeling schemes are a prevalent paradigm in various computing settings. In such schemes, an oracle is given an input graph and produces a label for each of its nodes, enabling the labels to be used for various tasks. Fundamental examples in distributed settings include distance labeling schemes, proof labeling schemes, advice schemes, and more. This paper addresses the question of what happens in a labeling scheme if some labels are erased, e.g., due to communication loss with the oracle or hardware errors. We adapt the notion of resilient proof-labeling schemes of Fischer, Oshman, Shamir [OPODIS 2021] and consider resiliency in general labeling schemes. A resilient labeling scheme consists of two parts - a transformation of any given labeling to a new one, executed by the oracle, and a distributed algorithm in which the nodes can restore their original labels given the new ones, despite some label erasures. Our contribution is a resilient labeling scheme that can handle F such erasures. Given a labeling of 𝓁 bits per node, it produces new labels with multiplicative and additive overheads of O(1) and O(log(F)), respectively. The running time of the distributed reconstruction algorithm is O(F+(𝓁⋅F)/log n) in the Congest model. This improves upon what can be deduced from the work of Bick, Kol, and Oshman [SODA 2022], for non-constant values of F. It is not hard to show that the running time of our distributed algorithm is optimal, making our construction near-optimal, up to the additive overhead in the label size.

Cite as

Keren Censor-Hillel and Einav Huberman. Near-Optimal Resilient Labeling Schemes. In 28th International Conference on Principles of Distributed Systems (OPODIS 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 324, pp. 35:1-35:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{censorhillel_et_al:LIPIcs.OPODIS.2024.35,
  author =	{Censor-Hillel, Keren and Huberman, Einav},
  title =	{{Near-Optimal Resilient Labeling Schemes}},
  booktitle =	{28th International Conference on Principles of Distributed Systems (OPODIS 2024)},
  pages =	{35:1--35:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-360-7},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{324},
  editor =	{Bonomi, Silvia and Galletta, Letterio and Rivi\`{e}re, Etienne and Schiavoni, Valerio},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2024.35},
  URN =		{urn:nbn:de:0030-drops-225713},
  doi =		{10.4230/LIPIcs.OPODIS.2024.35},
  annote =	{Keywords: Labeling schemes, Erasures}
}

Document

DOI: 10.4230/LIPIcs.OPODIS.2021.17

Distributed CONGEST Approximation of Weighted Vertex Covers and Matchings

Authors: Salwa Faour, Marc Fuchs, and Fabian Kuhn

Published in: LIPIcs, Volume 217, 25th International Conference on Principles of Distributed Systems (OPODIS 2021)

Abstract

We provide CONGEST model algorithms for approximating the minimum weighted vertex cover and the maximum weighted matching problem. For bipartite graphs, we show that a (1+ε)-approximate weighted vertex cover can be computed deterministically in poly((log n)/ε) rounds. This generalizes a corresponding result for the unweighted vertex cover problem shown in [Faour, Kuhn; OPODIS '20]. Moreover, we show that in general weighted graph families that are closed under taking subgraphs and in which we can compute an independent set of weight at least λ⋅ w(V) (where w(V) denotes the total weight of all nodes) in polylogarithmic time in the CONGEST model, one can compute a (2-2λ +ε)-approximate weighted vertex cover in poly((log n)/ε) rounds in the CONGEST model. Our result in particular implies that in graphs of arboricity a, one can compute a (2-1/a+ε)-approximate weighted vertex cover problem in poly((log n)/ε) rounds in the CONGEST model. For maximum weighted matchings, we show that a (1-ε)-approximate solution can be computed deterministically in time 2^{O(1/ε)}⋅ polylog n in the CONGEST model. We also provide a randomized algorithm that with arbitrarily good constant probability succeeds in computing a (1-ε)-approximate weighted matching in time 2^{O(1/ε)}⋅ polylog(Δ W)⋅ log^* n, where W denotes the ratio between the largest and the smallest edge weight. Our algorithm generalizes results of [Lotker, Patt-Shamir, Pettie; SPAA '08] and [Bar-Yehuda, Hillel, Ghaffari, Schwartzman; PODC '17], who gave 2^{O(1/ε)}⋅ log n and 2^{O(1/ε)}⋅ (logΔ)/(log logΔ)-round randomized approximations for the unweighted matching problem. Finally, we show that even in the LOCAL model and in bipartite graphs of degree ≤ 3, if ε < ε₀ for some constant ε₀ > 0, then computing a (1+ε)-approximation for the unweighted minimum vertex cover problem requires Ω((log n)/ε) rounds. This generalizes a result of [Göös, Suomela; DISC '12], who showed that computing a (1+ε₀)-approximation in such graphs requires Ω(log n) rounds.

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Salwa Faour, Marc Fuchs, and Fabian Kuhn. Distributed CONGEST Approximation of Weighted Vertex Covers and Matchings. In 25th International Conference on Principles of Distributed Systems (OPODIS 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 217, pp. 17:1-17:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{faour_et_al:LIPIcs.OPODIS.2021.17,
  author =	{Faour, Salwa and Fuchs, Marc and Kuhn, Fabian},
  title =	{{Distributed CONGEST Approximation of Weighted Vertex Covers and Matchings}},
  booktitle =	{25th International Conference on Principles of Distributed Systems (OPODIS 2021)},
  pages =	{17:1--17:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-219-8},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{217},
  editor =	{Bramas, Quentin and Gramoli, Vincent and Milani, Alessia},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2021.17},
  URN =		{urn:nbn:de:0030-drops-157928},
  doi =		{10.4230/LIPIcs.OPODIS.2021.17},
  annote =	{Keywords: distributed graph algorithms, minimum weighted vertex cover, maximum weighted matching, distributed optimization, CONGEST model}
}

Document

DOI: 10.4230/LIPIcs.OPODIS.2020.29

Approximating Bipartite Minimum Vertex Cover in the CONGEST Model

Authors: Salwa Faour and Fabian Kuhn

Published in: LIPIcs, Volume 184, 24th International Conference on Principles of Distributed Systems (OPODIS 2020)

Abstract

We give efficient distributed algorithms for the minimum vertex cover problem in bipartite graphs in the CONGEST model. From Kőnig’s theorem, it is well known that in bipartite graphs the size of a minimum vertex cover is equal to the size of a maximum matching. We first show that together with an existing O(nlog n)-round algorithm for computing a maximum matching, the constructive proof of Kőnig’s theorem directly leads to a deterministic O(nlog n)-round CONGEST algorithm for computing a minimum vertex cover. We then show that by adapting the construction, we can also convert an approximate maximum matching into an approximate minimum vertex cover. Given a (1-δ)-approximate matching for some δ > 1, we show that a (1+O(δ))-approximate vertex cover can be computed in time O (D+poly((log n)/δ)), where D is the diameter of the graph. When combining with known graph clustering techniques, for any ε ∈ (0,1], this leads to a poly((log n)/ε)-time deterministic and also to a slightly faster and simpler randomized O((log n)/ε³)-round CONGEST algorithm for computing a (1+ε)-approximate vertex cover in bipartite graphs. For constant ε, the randomized time complexity matches the Ω(log n) lower bound for computing a (1+ε)-approximate vertex cover in bipartite graphs even in the LOCAL model. Our results are also in contrast to the situation in general graphs, where it is known that computing an optimal vertex cover requires Ω̃(n²) rounds in the CONGEST model and where it is not even known how to compute any (2-ε)-approximation in time o(n²).

Cite as

Salwa Faour and Fabian Kuhn. Approximating Bipartite Minimum Vertex Cover in the CONGEST Model. In 24th International Conference on Principles of Distributed Systems (OPODIS 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 184, pp. 29:1-29:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{faour_et_al:LIPIcs.OPODIS.2020.29,
  author =	{Faour, Salwa and Kuhn, Fabian},
  title =	{{Approximating Bipartite Minimum Vertex Cover in the CONGEST Model}},
  booktitle =	{24th International Conference on Principles of Distributed Systems (OPODIS 2020)},
  pages =	{29:1--29:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-176-4},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{184},
  editor =	{Bramas, Quentin and Oshman, Rotem and Romano, Paolo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2020.29},
  URN =		{urn:nbn:de:0030-drops-135149},
  doi =		{10.4230/LIPIcs.OPODIS.2020.29},
  annote =	{Keywords: distributed vertex cover, distributed graph algorithms, distributed optimization, bipartite vertex cover}
}

7 Search Results for "Faour, Salwa"

Towards Optimal Distributed Edge Coloring with Fewer Colors

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Brief Announcement: Faster CONGEST Approximation Algorithms for Maximum Weighted Independent Set in Sparse Graphs

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Towards Fully Automatic Distributed Lower Bounds

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Faster Semi-Streaming Matchings via Alternating Trees

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Near-Optimal Resilient Labeling Schemes

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Distributed CONGEST Approximation of Weighted Vertex Covers and Matchings

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Approximating Bipartite Minimum Vertex Cover in the CONGEST Model

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